We test our algorithm for HS+MS fusion and pansharpening (PAN+MS fusion) using twelve pairs of \(\mathbf {Y}_\ell \mbox{-}\mathbf {Y}_h\)  images.
We conducted experiments on three diverse multiband datasets at different SNR (\(\text{SNR}_h\)  and \(\text{SNR}_\ell \) ) levels [1]}.
We compare with state-of-the-art fusion techniques including a recent deep learning method [2]}.
We report some representative results and discuss them; additional results can be found in the supplement. We also perform an ablation study of our method and compare it with existing nonlocal regularizers.
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